Abstract:The destination image and positioning studies in tourism have been limited to those dealing with the image's perceptual or cognitive component. This study examined the applicability of Russel and his colleagues' proposed affective space structure to large-scale environments (i.e., tourism destination countries) as well as its potential as a positioning structure to study affective images of tourism destinations. The multidimensional scaling analysis of 11 Mediterranean countries along with proposed affective s… Show more
“…Image is a construct that is widely applied in marketing and behavioral sciences to represent people's perceptions of products, objects, behaviors and events driven by beliefs, feelings, and impressions (Baloglu & Brinberg, 1997;Crompton, 1979). In the area of marketing tourist destinations, image has been given various definitions.…”
Section: Destination Imagementioning
confidence: 99%
“…In addition, with respect to cognition, Pike (2008) argued that it is the sum of what is known or believed by the individual about a tourism destination, as well as the associated knowledge that could or could not be derived from a previous visit. The affective component refers to the emotional responses or appraisals of the individual, reflecting the tourist's feelings towards the destination (Baloglu & Brinberg, 1997;Baloglu & McCleary, 1999a;Bigné, Andreu, & Gnoth, 2005;Hallmann, Zehrer, & Müller, 2014). According to Russell and Snodgrass (1987) people develop affective evaluations for a place before entering that environment, during their presence there and after leaving that place to move somewhere else.…”
This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations
“…Image is a construct that is widely applied in marketing and behavioral sciences to represent people's perceptions of products, objects, behaviors and events driven by beliefs, feelings, and impressions (Baloglu & Brinberg, 1997;Crompton, 1979). In the area of marketing tourist destinations, image has been given various definitions.…”
Section: Destination Imagementioning
confidence: 99%
“…In addition, with respect to cognition, Pike (2008) argued that it is the sum of what is known or believed by the individual about a tourism destination, as well as the associated knowledge that could or could not be derived from a previous visit. The affective component refers to the emotional responses or appraisals of the individual, reflecting the tourist's feelings towards the destination (Baloglu & Brinberg, 1997;Baloglu & McCleary, 1999a;Bigné, Andreu, & Gnoth, 2005;Hallmann, Zehrer, & Müller, 2014). According to Russell and Snodgrass (1987) people develop affective evaluations for a place before entering that environment, during their presence there and after leaving that place to move somewhere else.…”
This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations
“…Tourists typically travel to a place different from their residence and in several cases to a place where they had never been before. To explore or reduce the risk of unfamiliar product experimentation, tourists seek information (Dodd, Pinkleton and Gustafson 1996) and create destination expectations (Baloglu and Brinberg 1997). Hence, since tourism products are perceived by consumers while taking into consideration their service expectations (Parasuraman, Zeithaml and Berry 1988), these expectations become a major influence on consumer choices (Neelamegham and Jain 1999).…”
An empirical study of 350 tourists reveals that using non-media information sources for planning tourist trip influences expectations fulfillment.The use of non-media information sources also has a direct impact on the future
“…Latest guidelines for Tourism Marketing admit that the development of the image of a tourist destination is based on the consumer's rationality and emotionality, and as the result of the combination of two main components or dimensions (Baloglu & Brinberg, 1997;Lin, Morais, Kerstetter, & Hou, 2007 Beerli & Martin, 2004). It is also important to note that the cognitive component of the image has a considerable impact on the affective component (Ryan & Cave, 2005).…”
In the middle of highly competitive tourism market, development of successful destination image is paramount towards memorable experience for visitors. This study aims to support tourism stakeholders from the service providers and national tourism by analyzing, and extracting meaningful patterns from social media, e.g. Twitter, based on destination image information. This data plays an important role for destination marketers to distinguish their destination among others based on Twitter Statistics and key public opinion towards destination image attributes. London and New York were used as destination cities under the analysis of text mining with the concept linkage approach. Results shows five distinct keywords attributed to each city. Each keyword found to be relevant in representing the image of destination cities based on the public opinion on Twitter. For keyword "Culture and Cultural", term "British" and "Black" represent London and New York the best, respectively. In keyword "Entertainment", term "James Bond" and "Broadway" represent London and New York, respectively. In keyword "Festival", term "Lumiere" and "Global Citizen Festival" are best in describing city of London and New York, respectively. In keyword "Food", term "traditional British food" best describes London and "Food truck" best describes New York. The keyword "Shopping" exhibits term "Etsy" as the image of London and "Kate Spade" as the image for New York. This research reveals the value of social media analysis and the ability of text mining as an effective technique to extract opinions from vast amount of available social media data. Recommendations related to tourism strategic plan are made to facilitate possible future destination image studies.
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